These Higher Level Digital Society topics consistently produce the lowest scores. Prioritise these in your revision.
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Encryption — how it works mechanically (Paper 1 Microtransactions Q1a-iii)
'Many students demonstrated a poor understanding of how encryption works. Some gave reasons why encryption should be used or what effect encryption had on the data without explaining how encryption works.' Students could state the purpose but not describe the keys, ciphertext or steps.
Affects: Paper 1
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Cryptocurrency characteristics — distinguishing features vs general currency behaviour
'Cryptocurrency was not well understood by the candidates on the whole. Therefore, it was also difficult to explain how social media influencers who specialise in financial advice operated and made their money.' Many wrote that fluctuation in value is a characteristic — but all currencies fluctuate, so this is not a defining feature.
Affects: Paper 1
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Difference between the internet and the World Wide Web
'Very few candidates could describe the difference between the internet and the worldwide web.' Repeated in M25: 'The difference between the world wide web and the internet was not well understood. This made it difficult for some students to give two examples of services on the internet as they tended towards giving two types of web pages.'
Affects: Paper 1
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Cloud computing — distinguishing it from cloud storage and understanding its characteristics
'Some students seemed confused about what characterises "cloud computing". A few thought cloud computer was wireless, others conflated cloud computing and cloud storage.' Power use of data centres was also poorly understood as a central digital society issue.
Affects: Paper 1
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Open-source software (OSS) — applying the concept to a specific scenario
'Students struggled to apply what they knew about open-source software (OSS) to the case of a farming drone. There was a widespread view that the path taken by the drone would be entered as part of the source code, rather than a setting of, or input into, the software of the drone.' Many gave generic software answers not specific to OSS.
Affects: Paper 1
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Synthetic digital media and 'uncanny valley' (Topics 3.5 and 3.7 of the guide)
'Many students seemed to struggle with the term "synthetic digital media", even though this term appears in Topic 3.5 of the subject guide... Some students were not able to show an understanding of the term "uncanny valley" even though this terminology is in Topic 3.7 of the guide.' Even when defined, students could not explain why developers want to avoid it.
Affects: Paper 1
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HL Paper 3: Store-and-forward telehealth and asynchronous data flow
'Although candidates appeared to have knowledge about telehealth, many candidates did not fully understand the term store-and-forward telehealth. Incorrectly many candidates wrote about instant access to data, which is not consistent with the asynchronous nature of this digital technology and confused it with direct telehealth.'
Affects: Paper 3
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HL Paper 3: Converting personal attributes into data points (M25 case study)
'Students appeared less informed about the process of converting personal attributes into a series of data points, despite this being explicitly written in the second intervention in the pre-release. Many students applied the use of data points for intervention 1 only, without considering how this might apply to the second intervention described in source B.'
Affects: Paper 3